Limits...
Self-organizing distributed architecture supporting dynamic space expanding and reducing in indoor LBS environment.

Jeong SY, Jo HG, Kang SJ - Sensors (Basel) (2015)

Bottom Line: This paper proposes a self-organizing and fully distributed platform for iLBSs.The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically.In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

View Article: PubMed Central - PubMed

Affiliation: School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, Korea. snowflower@ee.knu.ac.kr.

ABSTRACT
Indoor location-based services (iLBS) are extremely dynamic and changeable, and include numerous resources and mobile devices. In particular, the network infrastructure requires support for high scalability in the indoor environment, and various resource lookups are requested concurrently and frequently from several locations based on the dynamic network environment. A traditional map-based centralized approach for iLBSs has several disadvantages: it requires global knowledge to maintain a complete geographic indoor map; the central server is a single point of failure; it can also cause low scalability and traffic congestion; and it is hard to adapt to a change of service area in real time. This paper proposes a self-organizing and fully distributed platform for iLBSs. The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically. In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

No MeSH data available.


Related in: MedlinePlus

Manual method for connecting physical neighboring SLiM Hubs.
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sensors-15-12156-f007: Manual method for connecting physical neighboring SLiM Hubs.

Mentions: Using the second method, the mobile user manually pushes a button to configure neighbors at the first and next SLiM Hub points, receiving the information from the current SLiM Hub, as shown in Figure 7. In this process, the mobile user needs to walk at a steady pace. In this scenario, we assume that a person walks at speed of 1.2 m/s, and we estimate distance using this constant value. A SLiM Hub receives the connection message for another SLiM Hub from a mobile device and sends the connection message through itself to the connected neighboring SLiM Hub.


Self-organizing distributed architecture supporting dynamic space expanding and reducing in indoor LBS environment.

Jeong SY, Jo HG, Kang SJ - Sensors (Basel) (2015)

Manual method for connecting physical neighboring SLiM Hubs.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507676&req=5

sensors-15-12156-f007: Manual method for connecting physical neighboring SLiM Hubs.
Mentions: Using the second method, the mobile user manually pushes a button to configure neighbors at the first and next SLiM Hub points, receiving the information from the current SLiM Hub, as shown in Figure 7. In this process, the mobile user needs to walk at a steady pace. In this scenario, we assume that a person walks at speed of 1.2 m/s, and we estimate distance using this constant value. A SLiM Hub receives the connection message for another SLiM Hub from a mobile device and sends the connection message through itself to the connected neighboring SLiM Hub.

Bottom Line: This paper proposes a self-organizing and fully distributed platform for iLBSs.The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically.In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

View Article: PubMed Central - PubMed

Affiliation: School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, Korea. snowflower@ee.knu.ac.kr.

ABSTRACT
Indoor location-based services (iLBS) are extremely dynamic and changeable, and include numerous resources and mobile devices. In particular, the network infrastructure requires support for high scalability in the indoor environment, and various resource lookups are requested concurrently and frequently from several locations based on the dynamic network environment. A traditional map-based centralized approach for iLBSs has several disadvantages: it requires global knowledge to maintain a complete geographic indoor map; the central server is a single point of failure; it can also cause low scalability and traffic congestion; and it is hard to adapt to a change of service area in real time. This paper proposes a self-organizing and fully distributed platform for iLBSs. The proposed self-organizing distributed platform provides a dynamic reconfiguration of locality accuracy and service coverage by expanding and contracting dynamically. In order to verify the suggested platform, scalability performance according to the number of inserted or deleted nodes composing the dynamic infrastructure was evaluated through a simulation similar to the real environment.

No MeSH data available.


Related in: MedlinePlus